Decentralized Dynamic Power Management with Local Information

Abstract

The multi-period version of the optimal power flow can tackle the power dispatch problem of modern distribution system with distributed renewable energy sources and energy storage system. In this paper, a communication-efficient decentralized optimization algorithm (DOA) for the multi-period optimal power flow problem is presented. Firstly, the power management of modern distribution system is modelled as a linear conic optimization problem based on the conically relaxed power flow equations. Secondly, some ancillary variables at the junction bus are introduced to decompose the distribution system into several separate parts. Moreover, the DOA based on the extended version of Alternating Direction Method of Multipliers (ADMM) is proposed. The DOA evolves by partial local message exchanges without central coordination. Finally, the colouring scheme, which is in accord with the network colouring used in communication protocols to avoid packet collisions, is applied in the decentralized algorithm as well.

Virtual Power Plant as a Tool for Cost-Reflective Network Charging Tariff

“…The optimal scheduling of VPP is achieved by performing a multi-objective scheduling strategy, which is day-ahead (on an hourly basis) and 15 min-based (for a oneday profile) to observe the behaviour of the anticipated system with a better constraint handling method [18]. The authors in [19] suggest a communication-efficient decentralised optimisation algorithm (DOA) based on the extended Alternating Direction Method of Multipliers (ADMM) for the multi-period optimal power flow problem and power management. ADMM ensures that the connected communication nodes exchange only the information that they are interested in.…”